{"id":1025,"date":"2024-12-05T16:11:35","date_gmt":"2024-12-05T07:11:35","guid":{"rendered":"https:\/\/www.aicritique.org\/us\/?p=1025"},"modified":"2024-12-05T16:11:35","modified_gmt":"2024-12-05T07:11:35","slug":"the-ai-assessment-scale-aias-in-action-a-pilot-implementation-of-genai-supported-assessment","status":"publish","type":"post","link":"https:\/\/www.aicritique.org\/us\/2024\/12\/05\/the-ai-assessment-scale-aias-in-action-a-pilot-implementation-of-genai-supported-assessment\/","title":{"rendered":"The AI Assessment Scale (AIAS) in Action: A Pilot Implementation of GenAI Supported Assessment"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">by Leon Furze, Mike Perkins, Jasper Roe, and Jason MacVaugh<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Summary<\/em>: This study explores the implementation of the AI Assessment Scale (AIAS), a framework for incorporating Generative AI into educational assessments. The pilot study indicates a significant reduction in academic misconduct related to AI, an increase in student attainment, and higher module passing rates.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Importance<\/em>: The AIAS facilitates the effective integration of Generative AI in higher education, promoting academic integrity while leveraging technology to enhance learning experiences.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The study addresses concerns related to academic integrity and explores the potential benefits of GenAI technologies in educational settings.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Key Components of the AI Assessment Scale (AIAS):<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The AIAS is a flexible framework comprising five levels, each defining the extent of AI utilization in assessments:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>No AI<\/strong>: Completion of assessments without any AI assistance.<\/li>\n\n\n\n<li><strong>Minimal AI<\/strong>: Limited use of AI for specific tasks, with AI-generated content requiring citation.<\/li>\n\n\n\n<li><strong>Moderate AI<\/strong>: AI serves as a &#8220;co-pilot,&#8221; collaborating with students to enhance creativity.<\/li>\n\n\n\n<li><strong>Extensive AI<\/strong>: AI is used throughout the assessment to support the student&#8217;s work, without the need to specify AI-generated content.<\/li>\n\n\n\n<li><strong>Full AI<\/strong>: AI plays a central role in completing the assessment, with students overseeing and refining the output.<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Pilot Study Implementation and Findings:<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Conducted at the British University Vietnam (BUV), the pilot study implemented the AIAS across various modules. The results indicated:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A significant reduction in academic misconduct cases related to GenAI.<\/li>\n\n\n\n<li>A 5.9% increase in student attainment across the university.<\/li>\n\n\n\n<li>A 33.3% increase in module passing rates.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">These outcomes suggest that the AIAS effectively integrates GenAI into higher education assessments, promoting academic integrity while leveraging AI&#8217;s potential to enhance learning experiences.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Implications for Higher Education:<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The study advocates for a balanced approach to GenAI in education, moving away from punitive measures towards frameworks that incorporate AI ethically and transparently. The AIAS provides educators with a structured method to design assessments that foster critical thinking and human input, ensuring that AI serves as a tool to augment, rather than undermine, educational objectives.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For a comprehensive understanding, the full paper is accessible <a href=\"https:\/\/arxiv.org\/abs\/2403.14692\">here<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>by Leon Furze, Mike Perkins, Jasper Roe, and Jason MacVaugh Summary: This study explores the implementation of the AI Assessment Scale (AIAS), a framework for incorporating Generative AI into educational assessments. The pilot study indicates a significant reduction in academic&hellip;<\/p>\n","protected":false},"author":4,"featured_media":1026,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[36,16],"tags":[],"class_list":["post-1025","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-education","category-reports"],"_links":{"self":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/posts\/1025","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/comments?post=1025"}],"version-history":[{"count":1,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/posts\/1025\/revisions"}],"predecessor-version":[{"id":1027,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/posts\/1025\/revisions\/1027"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/media\/1026"}],"wp:attachment":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/media?parent=1025"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/categories?post=1025"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/tags?post=1025"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}